Wells Fargo

Senior Specialty AI Engineer

Wells Fargo • $120K — $150K *
Charlotte, NC 28269In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 4+ years of Specialty Software Engineering experience or equivalent
  • 4+ years of AI/ML Software Engineering experience
  • Hands-on experience with LangChain
  • Experience with RAG pipeline development
  • Familiarity with vector databases
  • Backend experience in Python (FastAPI) or Node.js
  • Frontend experience with React or Next.js
  • Knowledge of API security and secrets management

Responsibilities

  • Develop multi-step workflows using LangChain and LangGraph
  • Implement prompt templates and tool integrations for GenAI applications
  • Build and maintain document ingestion and metadata tagging pipelines
  • Develop services on Google Vertex AI
  • Assist with containerization and Kubernetes deployment
  • Build backend APIs and develop user-facing components
  • Collaborate with cross-functional teams to deliver software features

Benefits

  • Hybrid work schedule
  • Opportunity to work with advanced AI technologies
  • Collaboration with experienced engineering teams
  • Strong emphasis on engineering best practices
  • Access to training on emerging GenAI tools and frameworks
Full Job Description
About this role:

Wells Fargo is seeking a Senior Specialty AI Engineer to design, build, and productionize GenAI applications end-to-end. You will contribute to the development of LangChain/LangGraph-based workflows, RAG pipelines, and scalable services on Google Vertex AI. You will collaborate with senior engineers and cross-functional teams to deliver reliable, secure, and cost-efficient AI solutions while building depth across architecture, MLOps, and evaluation.

In this role, you will:

Agentic Workflows & Orchestration
  • Develop multi-step workflows using LangChain and LangGraph (chains, tools, basic state graphs, retries, and error handling).
  • Implement prompt templates, tool integrations, and memory patterns for GenAI applications.
  • Contribute to observability setup (logging, tracing, prompt/version tracking) and basic guardrails.


RAG Pipeline Development
  • Build and maintain ingestion pipelines: document parsing, chunking, embeddings, and metadata tagging.
  • Implement retrieval strategies such as dense search, hybrid retrieval (BM25 + vector), and reranking.
  • Configure and manage vector databases (e.g., Pinecone, Weaviate, FAISS).


Vertex AI & Cloud Engineering
  • Develop and deploy services using Google Vertex AI (model endpoints, pipelines, vector search).
  • Assist in containerization (Docker) and deployment via Kubernetes/GKE.
  • Contribute to CI/CD workflows (GitHub Actions, Cloud Build).


Full Stack Development
  • Build backend APIs using Python (FastAPI) or Node.js.
  • Develop user-facing components using React/Next.js.
  • Implement authentication, authorization, and API management (rate limiting, retries).


Collaboration & Growth
  • Work closely with product, data, and platform teams to deliver features.
  • Contribute to engineering best practices (code quality, testing, documentation).
  • Learn and adopt emerging GenAI tools, frameworks, and patterns.


Required Qualifications
  • 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4 years of AI/ML Software Engineering experience, or equivalent
  • Hands-on experience with LangChain (required) and exposure to LangGraph or similar orchestration frameworks.
  • Experience building RAG pipelines (chunking, embeddings, retrieval, evaluation basics).
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS, or similar).
  • Backend development experience in Python (FastAPI) or Node.js.
  • Frontend experience with React or Next.js.
  • Experience with Docker, basic Kubernetes concepts, and CI/CD pipelines.
  • Understanding of GenAI evaluation concepts, observability basics, and prompt design.
  • Knowledge of security fundamentals (API security, PII handling, secrets management).
  • Strong problem-solving and communication skills.


Desired Qualifications:
  • Exposure to LangGraph advanced patterns (state machines, multi-agent flows).
  • Experience with LlamaIndex or structured RAG (SQL/Graph RAG).
  • Familiarity with rerankers (Cohere, bge) and retrieval optimization techniques.
  • Experience integrating LLMs with enterprise tools, databases, or APIs.
  • Basic knowledge of knowledge graphs or ontology design.
  • Exposure to LLM observability tools (LangSmith, OpenTelemetry).


Job Expectations:
  • This position offers a hybrid work schedule
  • This position is not eligible for Visa sponsor


Posting End Date:

13 Jul 2026
*Job posting may come down early due to volume of applicants.

About Wells Fargo

Wells Fargo Careers

Joining Wells Fargo means becoming part of a distinguished financial institution that has been a cornerstone of innovation and leadership in the banking industry. At Wells Fargo, we offer a plethora of job opportunities designed to empower your career growth and development in a diverse and inclusive environment.

Work You’ll Do

At Wells Fargo, you will be part of a team that values diversity and is committed to fostering an inclusive culture. We are looking for professionals who are eager to drive innovation and lead with integrity. Our employees are our greatest asset, and we invest in their professional growth through comprehensive leadership and diversity training programs that are recognized industry-wide.

Explore a Multitude of Career Paths

Whether you're interested in a position in finance, IT, customer service, or management, Wells Fargo has career opportunities in various fields. Our team members benefit from job stability, competitive benefits, and a culture that values and rewards performance and dedication.

Internship Programs

Kickstart your career with a Wells Fargo internship. Our programs provide invaluable industry exposure, professional skills development, and networking opportunities that often lead to full-time employment offers. Interns at Wells Fargo work on real projects, solve actual challenges, and gain the mentorship of seasoned professionals.

Professional Growth and Development

We believe in nurturing the potential of our employees. Wells Fargo offers robust training programs and resources to help every team member excel in their current roles and prepare for future challenges. Growth at Wells Fargo is not just about climbing the career ladder but expanding your skills and expertise to add value to our team and customers.

Benefits and Rewards

Wells Fargo is committed to the well-being of our team members. We offer a comprehensive benefits package that includes health care, retirement plans, and generous paid time off. Additionally, we provide unique perks like employee discounts, adoption assistance, and tuition reimbursement.

Join Our Team

Discover the opportunities waiting for you at Wells Fargo by exploring open positions that match your skills and interests. We are continuously hiring and looking for individuals who bring creativity, passion, and a drive to serve our customers.

Stay Connected

Keep up to date with the latest from Wells Fargo Careers by subscribing to our job alert emails. Tailor your subscription to receive updates that align with your career preferences and get insider tips on crafting the perfect resume and acing your interview.

Networking and Innovation

At Wells Fargo, networking and innovation go hand in hand. We encourage our employees to connect across departments and roles to foster new ideas and strategies that lead to groundbreaking solutions.

Empower Your Career

Step into a role at Wells Fargo where your skills will be honed, your achievements recognized, and your career can flourish. We're not just filling positions; we're building leaders who are equipped to navigate the complexities of the financial world. Join Wells Fargo today and be part of a team that’s redefining the future of banking.
Learn more about Wells Fargo
Size
246,577 employees
Market Cap
$155.2 billion
Industry
Finance & Insurance
Net Income
$3.3 billion
Founded
1852
5 Year Trend
-5.9%
NASDAQ
WFC
* Ladders Estimates

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